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Published in: Journal of Material Cycles and Waste Management 2/2018

30-11-2017 | ORIGINAL ARTICLE

Influence of population, income and electricity consumption on per capita municipal solid waste generation in São Paulo State, Brazil

Authors: Reinaldo Pisani Jr., Marcus César Avezum Alves de Castro, Antonio Alvares da Costa

Published in: Journal of Material Cycles and Waste Management | Issue 2/2018

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Abstract

Predicting municipal solid waste (MSW) generation is fundamental in choosing and scaling the processes involved in municipal management. The challenge for financial sustainability is to create indicators that enable MSW fees to be charged in proportion to the amount generated by each resident. Mathematical functions were tested to adjust the per capita waste generation rate (PCWG) in the municipalities of the state of São Paulo, based on population (P), per capita income (PCI) and per capita energy consumption (PCE). The dataset involved 238 municipalities in 2013 and 251 municipalities in 2014 that routinely weighed their wastes. The averaged PCWG increased from 0.65 to 0.90 kg inh.− 1 day− 1 (increment of 38%) when population enhanced from the range of 0–25,000 to 100,001–500,000 inh., mean per capita income grew from 10.1 to 13.6 USD inh.− 1 day− 1, and mean per capita electricity consumption expanded from 6.9 to 10.9 kWh inh.− 1 day− 1. The equation that best represented the data set resulted in r of 0.49, R 2 of 0.24, RMSE of 0.224 kg inh.− 1 day− 1 and E p of − 12.3%. Despite the relatively low R 2, it was demonstrated by Student’s t test that the proposed equation was able to represent mean values and result in the same variance with more than 99% probability.

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Literature
1.
go back to reference Brazilian Federal Law No. 12,305 of 02 Aug (2010) Establishes the National Solid Waste Policy; amends Law No. 9,605 of 12 Feb 1998, and makes other provisions (in Portuguese) Brazilian Federal Law No. 12,305 of 02 Aug (2010) Establishes the National Solid Waste Policy; amends Law No. 9,605 of 12 Feb 1998, and makes other provisions (in Portuguese)
2.
go back to reference Brazilian Federal Decree No. 7,404/2010 of 23 Dec (2010) Regulates Law No. 12,305 of 02 Aug 2010, which establishes the national solid waste policy, creates the inter-ministerial committee of the national solid waste policy, the steering committee for the implementation of reverse logistics systems, and makes other provisions (in Portuguese) Brazilian Federal Decree No. 7,404/2010 of 23 Dec (2010) Regulates Law No. 12,305 of 02 Aug 2010, which establishes the national solid waste policy, creates the inter-ministerial committee of the national solid waste policy, the steering committee for the implementation of reverse logistics systems, and makes other provisions (in Portuguese)
3.
go back to reference Daskalopoulos E, Badr O, Probert SD (1998) Municipal solid waste: a prediction methodology for the generation rate and composition in the European Union countries and the United States of America. Resour Conserv Recycl 24:155–166CrossRef Daskalopoulos E, Badr O, Probert SD (1998) Municipal solid waste: a prediction methodology for the generation rate and composition in the European Union countries and the United States of America. Resour Conserv Recycl 24:155–166CrossRef
4.
go back to reference Chowdhury M (2009) Searching quality data for municipal solid waste planning. Waste Manag 29:2240–2247CrossRef Chowdhury M (2009) Searching quality data for municipal solid waste planning. Waste Manag 29:2240–2247CrossRef
5.
go back to reference Purcell M, Magette WL (2009) Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region. Waste Manag 29:1237–1250CrossRef Purcell M, Magette WL (2009) Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region. Waste Manag 29:1237–1250CrossRef
6.
go back to reference Liu C, Wu X (2010) Factors influencing municipal solid waste generation in China: A multiple statistical analysis study. Waste Manag Res 29:371–378 Liu C, Wu X (2010) Factors influencing municipal solid waste generation in China: A multiple statistical analysis study. Waste Manag Res 29:371–378
7.
go back to reference Keser S, Duzgunb S, Aksoy A (2012) Application of spatial and non-spatial data analysis indetermination of the factors that impact municipal solid waste generation rates in turkey. Waste Manag 32:359–371CrossRef Keser S, Duzgunb S, Aksoy A (2012) Application of spatial and non-spatial data analysis indetermination of the factors that impact municipal solid waste generation rates in turkey. Waste Manag 32:359–371CrossRef
8.
go back to reference Ghinea C, Dragoi EN, Comanita ED, Gavrilescu M, Câmpean T, Curteanu S, Gavrilescu M (2016) Forecasting municipal solid waste generation using prognostic tools and regression analysis. J Environ Manage 182:80–93CrossRef Ghinea C, Dragoi EN, Comanita ED, Gavrilescu M, Câmpean T, Curteanu S, Gavrilescu M (2016) Forecasting municipal solid waste generation using prognostic tools and regression analysis. J Environ Manage 182:80–93CrossRef
9.
go back to reference Kawai K, Tasaki T (2016) Revisiting estimates of municipal solid waste generation per capita and their reliability. J Mater Cycles Waste Manag 18:1–13CrossRef Kawai K, Tasaki T (2016) Revisiting estimates of municipal solid waste generation per capita and their reliability. J Mater Cycles Waste Manag 18:1–13CrossRef
10.
go back to reference Hockett D, Lober DJ, Pilgrim K (1995) Determinants of per capita municipal solid waste generation in the Southeastern United States. J Environ Manag 45:205–217CrossRef Hockett D, Lober DJ, Pilgrim K (1995) Determinants of per capita municipal solid waste generation in the Southeastern United States. J Environ Manag 45:205–217CrossRef
11.
go back to reference Xu L, Gao P, Cui S, Liu C (2013) A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City China. Waste Manag 33:1324–1331CrossRef Xu L, Gao P, Cui S, Liu C (2013) A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City China. Waste Manag 33:1324–1331CrossRef
12.
go back to reference Benítez SO, Lozano-Olvera G, Morelos RA, Veja CA (2008) Mathematical modeling to predict residential solid waste generation. Waste Manag 28:S7 – S13CrossRef Benítez SO, Lozano-Olvera G, Morelos RA, Veja CA (2008) Mathematical modeling to predict residential solid waste generation. Waste Manag 28:S7 – S13CrossRef
13.
go back to reference Navarro-Esbrí J, Diamadopoulos E, Ginestar D (2002) Time series analysis and forecasting techniques for municipal solid waste management. Resour Conserv Recycl 35:201–214CrossRef Navarro-Esbrí J, Diamadopoulos E, Ginestar D (2002) Time series analysis and forecasting techniques for municipal solid waste management. Resour Conserv Recycl 35:201–214CrossRef
14.
go back to reference Campos HKT (2012) Evolution of income and per capita generation of solid wastes in Brazil (in Portuguese). Eng Sanit Ambient 17:171–180CrossRef Campos HKT (2012) Evolution of income and per capita generation of solid wastes in Brazil (in Portuguese). Eng Sanit Ambient 17:171–180CrossRef
15.
go back to reference Dias DM, Martinez CB, Barros RTV (2014) Generation estimate of municipal solid waste as subsidy actions aimed to environmental sustainability (in Portuguese). R Bras Cienc Ambient 33:13–20 Dias DM, Martinez CB, Barros RTV (2014) Generation estimate of municipal solid waste as subsidy actions aimed to environmental sustainability (in Portuguese). R Bras Cienc Ambient 33:13–20
16.
go back to reference Melo LA, Sautter KD, Janissek PR (2009) Scenario studies for the management of urban solid waste in Curitiba (in Portuguese). Eng Sanit e Ambient 14:551–558CrossRef Melo LA, Sautter KD, Janissek PR (2009) Scenario studies for the management of urban solid waste in Curitiba (in Portuguese). Eng Sanit e Ambient 14:551–558CrossRef
17.
go back to reference Dias DM, Martinez CB, Barros PTV, Libânio M (2012) Model to domestic solid waste generation estimative in urban areas based on socioeconomic conjuncture variables (in Portuguese). Eng Sanit Ambient 17:325–332CrossRef Dias DM, Martinez CB, Barros PTV, Libânio M (2012) Model to domestic solid waste generation estimative in urban areas based on socioeconomic conjuncture variables (in Portuguese). Eng Sanit Ambient 17:325–332CrossRef
18.
go back to reference Pinto MR, Pereira DRM, Freitas RC (2012) Factors social, economic and demographic associated with household waste generation in the city of Belo Horizonte (in Portuguese). Reuna 17:27–44 Pinto MR, Pereira DRM, Freitas RC (2012) Factors social, economic and demographic associated with household waste generation in the city of Belo Horizonte (in Portuguese). Reuna 17:27–44
19.
go back to reference Silva H, Barbieri AF, Mór RLM (2012) Demography of urban consumption: a study on the generation of solid waste in the city of Belo Horizonte (in Portuguese). R Bras Est Pop 29(2): 421–449CrossRef Silva H, Barbieri AF, Mór RLM (2012) Demography of urban consumption: a study on the generation of solid waste in the city of Belo Horizonte (in Portuguese). R Bras Est Pop 29(2): 421–449CrossRef
21.
go back to reference National Secretary of Environmental Sanitation – SNIS (2016). National Information System on Sanitation: Diagnosis of municipal solid waste management—2014 (in Portuguese). Ministry of Cities, Brasilia National Secretary of Environmental Sanitation – SNIS (2016). National Information System on Sanitation: Diagnosis of municipal solid waste management—2014 (in Portuguese). Ministry of Cities, Brasilia
24.
go back to reference National Secretary of Environmental Sanitation – SNIS (2015). National Information System on Sanitation: Diagnosis of municipal solid waste management—2013 (in Portuguese). Ministry of Cities, Brasilia National Secretary of Environmental Sanitation – SNIS (2015). National Information System on Sanitation: Diagnosis of municipal solid waste management—2013 (in Portuguese). Ministry of Cities, Brasilia
26.
go back to reference Israel GD (1992) Determining sample size. Florida Cooperative Extension Service, University of Florida, Fact sheet PEOD-6, November, pp 1–5 Israel GD (1992) Determining sample size. Florida Cooperative Extension Service, University of Florida, Fact sheet PEOD-6, November, pp 1–5
27.
go back to reference Legates DR, McCabe GJ Jr (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35:233–241CrossRef Legates DR, McCabe GJ Jr (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35:233–241CrossRef
28.
go back to reference Moriasi DN, Arnold JG, Liew MWV, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am Soc Agric Biol Eng 50:885–890 Moriasi DN, Arnold JG, Liew MWV, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am Soc Agric Biol Eng 50:885–890
29.
go back to reference Ayres M (2007) BioEstat Statistical applications in the areas of biomedical sciences (in Portuguese), 5 edn. Federal University of Pará, Belém Ayres M (2007) BioEstat Statistical applications in the areas of biomedical sciences (in Portuguese), 5 edn. Federal University of Pará, Belém
30.
go back to reference Cohen J (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, HillsdaleMATH Cohen J (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, HillsdaleMATH
31.
go back to reference Dancey C, Reidy J (2006) Statistics without math for psychology: using SPSS for Windows (in Portuguese). Artmed, Porto Alegre Dancey C, Reidy J (2006) Statistics without math for psychology: using SPSS for Windows (in Portuguese). Artmed, Porto Alegre
32.
go back to reference Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer-Verlag, New YorkMATH Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer-Verlag, New YorkMATH
33.
go back to reference National Secretary of Environmental Sanitation–SNIS (2017). National Information System on Sanitation: Diagnosis of municipal solid waste management—2015 (in Portuguese). Ministry of Cities, Brasilia National Secretary of Environmental Sanitation–SNIS (2017). National Information System on Sanitation: Diagnosis of municipal solid waste management—2015 (in Portuguese). Ministry of Cities, Brasilia
Metadata
Title
Influence of population, income and electricity consumption on per capita municipal solid waste generation in São Paulo State, Brazil
Authors
Reinaldo Pisani Jr.
Marcus César Avezum Alves de Castro
Antonio Alvares da Costa
Publication date
30-11-2017
Publisher
Springer Japan
Published in
Journal of Material Cycles and Waste Management / Issue 2/2018
Print ISSN: 1438-4957
Electronic ISSN: 1611-8227
DOI
https://doi.org/10.1007/s10163-017-0687-0

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